Spatial Techniques for Soil Erosion Estimation

Spatial Techniques for Soil Erosion Estimation
Author: Rupesh Jayaram Patil
Publisher: Springer
Total Pages: 96
Release: 2018-02-06
Genre: Science
ISBN: 3319742868
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This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.

Soil Loss Estimation Through Mathematical Models Using GIS and RS Techniques

Soil Loss Estimation Through Mathematical Models Using GIS and RS Techniques
Author: Shwetha G
Publisher:
Total Pages: 8
Release: 2016
Genre:
ISBN:
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Understanding the relationship between land attributes and soil erosion processes is very important as the resource conservation and developmental programmes are being taken up increasingly on watershed basis. This research integrates the MUSLE within a Geographic Information System (GIS) environment to investigate the spatial distribution of annual soil loss potential in the Timmapur watershed of Raichur Taluk. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined GIS data layers including, Runoff and Peak Runoff (Q and Qp), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors were computed to determine their effects on average annual soil loss. The runoff factor was obtained using SCS-CN method, the topographic factor was developed from a Digital Elevation Model (DEM); the K factor was determined from a combination of the soil map and the geological map; and the land cover factor was generated from IRS LISS III images. The resultant map of annual soil erosion shows a maximum soil loss of 77.49 t h-1 y-1.

Predicting Rainfall Erosion Losses

Predicting Rainfall Erosion Losses
Author: Walter H. Wischmeier
Publisher:
Total Pages: 70
Release: 1978
Genre: Agricultural conservation
ISBN:
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The Universal Soil Loss Equation (USLE) enables planners to predict the average rate of soil erosion for each feasible alternative combination of crop system and management practices in association with a specified soil type, rainfall pattern, and topography. When these predicted losses are compared with given soil loss tolerances, they provide specific guidelines for effecting erosion control within specified limits. The equation groups the numerous interrelated physical and management parameters that influence erosion rate under six major factors whose site-specific values can be expressed numerically. A half century of erosion research in many States has supplied information from which at least approximate values of the USLE factors can be obtained for specified farm fields or other small erosion prone areas throughout the United States. Tables and charts presented in this handbook make this information readily available for field use. Significant limitations in the available data are identified.

Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria)

Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria)
Author: Ahmed Benchettouh
Publisher:
Total Pages: 0
Release: 2018
Genre: Electronic books
ISBN:
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To meet the pressing water needs in Algeria, the state has put in place a strategy consisting of the creation of hydraulic infrastructure for the mobilization of surface water resources. In fact, 74 dams are currently in operation; these structures are silting up at a rapid pace, generating an estimated annual loss of 45 million m3. Sidi Mhamed Benaouda dam located in the Oranian hill, with a water capacity of respectively 241 million m3 plays a crucial economic role in this region. The protection of this dam against erosive processes is a pressing economic goal. To do this, the RUSLE/GIS approach was used to map the erosive hazard. The results obtained in the Mina catchment, following a subdivision of 1315 homogeneous land parcels, show a total annual loss of 60 million tons/year with an average loss of 11.2 t/ha/year. About 50% of the catchment area was predicted to have very low to low erosion risk, with soil loss between 0 and 7.4 t/ha/year. Erosion risk is moderate over 13.9% of the catchment, where calculated soil loss is between 7.4 and 12 t/ha/year. Erosion risk is high to dangerous over 36.1% of the catchment, where calculated soil loss is more than 12 t/ha/year. According to this study, it appeared clearly that we must intervene quickly by using reliable and effective conservation techniques.

Predicting Soil Erosion by Water

Predicting Soil Erosion by Water
Author: Kenneth G. Renard
Publisher:
Total Pages: 412
Release: 1997
Genre: Geophysical prediction
ISBN:
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Introduction and history; Rainfall-runoff erosivity factor (R); Soil erodibility factor (K); Slope length and steepness factors (LS); Cover-management factor (C); Support practice factor (P); RUSLE user guide; Coversion to SI metric system; Calculation of EI from recording-raingage records; Estimating random roughness in the field; Parameter values for major agricultural crops and tillage operations.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
Total Pages: 798
Release: 2019-01-18
Genre: Mathematics
ISBN: 0128156953
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Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Chapter Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria).

Chapter Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria).
Author: Benchettouh Ahmed
Publisher:
Total Pages:
Release: 2021
Genre:
ISBN:
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To meet the pressing water needs in Algeria, the state has put in place a strategy consisting of the creation of hydraulic infrastructure for the mobilization of surface water resources. In fact, 74 dams are currently in operation; these structures are silting up at a rapid pace, generating an estimated annual loss of 45 million m3. Sidi Mhamed Benaouda dam located in the Oranian hill, with a water capacity of respectively 241 million m3 plays a crucial economic role in this region. The protection of this dam against erosive processes is a pressing economic goal. To do this, the RUSLE/GIS approach was used to map the erosive hazard. The results obtained in the Mina catchment, following a subdivision of 1315 homogeneous land parcels, show a total annual loss of 60 million tons/year with an average loss of 11.2 t/ha/year. About 50% of the catchment area was predicted to have very low to low erosion risk, with soil loss between 0 and 7.4 t/ha/year. Erosion risk is moderate over 13.9% of the catchment, where calculated soil loss is between 7.4 and 12 t/ha/year. Erosion risk is high to dangerous over 36.1% of the catchment, where calculated soil loss is more than 12 t/ha/year. According to this study, it appeared clearly that we must intervene quickly by using reliable and effective conservation techniques.

Soil Erosion

Soil Erosion
Author: António Vieira
Publisher: BoD – Books on Demand
Total Pages: 153
Release: 2021-05-12
Genre: Technology & Engineering
ISBN: 1839622997
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Soil erosion is a major environmental issue with a worldwide impact and direct and indirect effects on soil productivity and consequently on human survival. Although a natural process, soil erosion has increased significantly due to human intervention, especially in the last centuries, through diverse activities such as intensive agriculture, overgrazing, urban sprawl, deforestation, and industrial and mining activities. Presently, soil erosion and degradation promoted by human action have reached extreme levels, necessitating urgent measures to promote soil conservation and rehabilitation. This book presents perspectives on soil erosion occurring in different parts of the world as well as some successful initiatives and strategies for soil conservation and rehabilitation.

Soil Erosion

Soil Erosion
Author: Shakeel Mahmood
Publisher: BoD – Books on Demand
Total Pages: 198
Release: 2024-01-10
Genre: Technology & Engineering
ISBN: 1803568437
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Soil erosion is a global environmental challenge with profound consequences for land, water, and ecosystems. This book, Soil Erosion - Risk Modelling and Management, takes you on a comprehensive exploration of the intricate science and practical strategies for understanding, predicting, and addressing soil erosion. Inside the pages of this volume, you’ll find a wealth of unique insights, innovative methodologies, and illuminating case studies from diverse regions around the world. Whether you’re a student, researcher, or practitioner, this book is an essential resource for gaining a deep understanding of soil erosion and discovering effective solutions to this critical environmental issue. The book delves into the intricate science of soil erosion, providing readers with a solid foundation in the principles and processes involved. It helps readers grasp the underlying causes and mechanisms of erosion, making it an invaluable resource for students and researchers in environmental science and related fields. The book is a vital resource that addresses one of the most pressing environmental challenges of our time. It combines scientific insights with practical solutions, making it an essential tool for anyone seeking to understand, address, and combat soil erosion’s far-reaching impacts on our planet’s health and well-being.

Advanced Tools for Studying Soil Erosion Processes

Advanced Tools for Studying Soil Erosion Processes
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
Total Pages: 634
Release: 2024-08-17
Genre: Science
ISBN: 0443222630
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Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users. Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing. Provides an overview of soil erosion and its interaction with natural hazards (i.e., geological, hydrological, meteorological, and biological) Introduces advanced tools and technologies in soil erosion management Presents future soil erosion opportunities and challenges